Coping with Crises: Christian â Jewish Relations in Catalonia and Aragon, 1380â1391
Bibliographic record
Abstract
This dissertation explores Christian-Jewish relations in the decades prior to the watershed of 1391, when Christian mobs throughout Castile and the Crown of Aragon killed or, more often, forcibly converted many Jews. My research indicates that the explosive violence of 1391 was not the predictable, inevitable result of growing interfaith animosity in the Crown of Aragon but was sparked by developments in Castile. Because of the resultant converso problem many historians consider 1391 to be a turning point in Iberian history. Yet historians have not closely explored Jewish-Christian interaction in the crucial later fourteenth century, particularly not in the Crown of Aragon, and have assumed, wrongly I believe, that the period following the Black Death (1348) saw a steady deterioration in the Jews’ relations with Christians. The first three chapters of the dissertation deal with the “crises” that marked late fourteenth-century Catalonia and Aragon. In the first chapter I outline the long-term precedents - the Black Death and successive wars – of the economic crisis that would follow. The second chapter focuses on economic matters – the Jewish contribution to the economy as well as the impact of growing debt and the development of new credit mechanisms. Chapter three, in turn, focuses on the impact of increasing taxation on Jewish communities. The final three chapters explore ways in which Jews and Christians coped with crises: chapter four deals with sources of conflict within Jewish communities, chapter five with conflict between Jews and Christians, while the last chapter looks at conversion as a way of coping with the crises of the fourteenth century. Throughout, my research shows how Jews and their Christian neighbours and rulers developed strategies and means of coping with the effects of epidemic disease, famine, and frequent warfare. I pay particular attention at how the law became a mechanism for coping with the worsening of economic conditions.
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How this classification was reachedexpand
Full frame machine prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. The Gemma side is a direct model label for every work in the frame, read from the title-only record. The Codex side is a classifier learned from the 10,348 direct Codex labels and calibrated to design-weighted sample rates; fields without enough sample support carry no Codex call. Candidate is the union of the two sides; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels.
Distilled classifier scores by category (both heads)
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.001 | 0.001 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.008 | 0.004 |
| Scholarly communication | 0.004 | 0.001 |
| Open science | 0.001 | 0.003 |
| Research integrity | 0.002 | 0.002 |
| Insufficient payload (model declined to judge) | 0.002 | 0.000 |
Machine scores (provisional)
The two teacher heads of the student model, read on this work. A score orders the frame for review; it never asserts a category, and the validation status ships verbatim with every row.
Baseline scores from an immature model (maturity gate not passed, 7 training rounds). Scores rank; they never assert a category.
score_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from itClassification
machine, unvalidatedMachine predicted; a candidate call from one source (direct Gemma or distilled Codex), not a consensus.
How this classification was reached, model by model and score by score, is at the end of the page under "How this classification was reached".